Overall 12+ yrs of experience
- 8+ years of experience in data science, ML engineering, or a closely related discipline
- 5+ years of hands-on MLflow usage across Tracking, Projects, Models, and Registry components
- Strong proficiency in Python; experience with ML frameworks: scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow
- Demonstrated experience building production-grade ML pipelines on at least one major cloud platform (AWS, Azure, Google Cloud Platform)
- Deep knowledge of containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Helm)
- Experience with feature store design, data versioning (DVC), and model governance frameworks
- Strong SQL and working knowledge of distributed computing (Spark, Dask)
- Excellent communication skills; ability to present technical concepts to executive and non-technical audiences